With the continuous development of urbanization in modern society,online shopping,take-out and other internet online platforms are growing,thus the importance of inter-city distribution that requires offline docking is rising.In the academic and transportation field,the solution to the optimization of urban distribution path and constructing a reasonable and efficient urban logistics distribution system are also a research hotspot in recent years.The optimization of urban distribution path is a complicated process,but not a simple singleobjective planning.It involves many factors,and these factors often affect and limit itself.In order to solve these problems,based on multi-attribute decision-making,in this thesis,a method is proposed for the optimization of urban distribution routes,as stated as follows:First of all,combined with the research background of urban distribution optimization,this thesis summarizes the research status of urban distribution path optimization through different dimensions,and analyzes the advantages of multi-attribute decision-making method in the field of urban distribution,and then clarifies the research significance of urban distribution route optimization.Then,this thesis introduces the multi-attribute decision-making and the theoretical basis of some knowledge involved in urban distribution in detail,including the standardization method of decision-making information,the method of gathering expert opinions,the seeking of subjective and objective weights and the comprehensive evaluation of schemes,etc.Finally,the shortest path model of urban distribution is established and the ant colony algorithm is improved to output the K shortest paths set,so as to determine the K urban distribution paths option set.The evaluation information of several alternative routes of urban distribution is standardized,the subjective evaluation information that experts are invited to evaluate is collected,the integrated evaluation information matrix is obtained by integrating the standardized objective evaluation information matrix and the subjective evaluation information matrix given by the assembled experts.The objective weights of the attributes of the route itself are obtained by combining the CRITIC method and entropy method,and the subjective weights of the attributes of the route are obtained by inviting experts to evaluate the attributes of the route through the Delphi method.The subjective and objective comprehensive weights of attributes are obtained by means of optimal combination weighting method.The TOPSIS method is used to obtain the rankings of the K paths in the alternative set of paths,by using the results of comprehensive evaluation of the alternative paths.The optimal path is selected to realize the optimization of the urban distribution path.At the same time,an example is given for illustration and analysis. |